diff --git a/README.md b/README.md
index 6f72f33..9be307e 100644
--- a/README.md
+++ b/README.md
@@ -9,8 +9,8 @@ An extension to Stable Baselines 3. Based on Metastable Baselines 1.
 This repo provides:
 
 - An implementation of ["Differentiable Trust Region Layers for Deep Reinforcement Learning" by Fabian Otto et al. (TRPL)](https://arxiv.org/abs/2101.09207)
-- Support for Contextual Covariances (via PCA)
-- Support for Full Covariances (via PCA)
+- Support for Contextual Covariances
+- Support for Full Covariances
 
 ## Installation
 
@@ -46,7 +46,7 @@ projection = 'Wasserstein' # or Frobenius or KL
 
 model = TRPL("MlpPolicy", env_id, n_steps=128, seed=0, policy_kwargs=dict(net_arch=[16]), projection_class=projection, verbose=1)
 
-model.learn(total_timesteps=100)
+model.learn(total_timesteps=256)
 ```
 
 Configure TRPL py passing `projection_kwargs` to TRPL:
@@ -55,7 +55,7 @@ Configure TRPL py passing `projection_kwargs` to TRPL:
 model = TRPL("MlpPolicy", env_id, n_steps=128, seed=0, policy_kwargs=dict(net_arch=[16]), projection_class=projection, projection_kwargs={'mean_bound': mean_bound, 'cov_bound': cov_bound}, verbose=1)
 ```
 
-For avaible projection_kwargs have a look at [Metastable Projections](https://git.dominik-roth.eu/dodox/metastable-projections).
+For available projection_kwargs have a look at [Metastable Projections](https://git.dominik-roth.eu/dodox/metastable-projections).
 
 ### Full Covariance
 
@@ -65,27 +65,27 @@ We therefore pass `use_pca=True` and `policy_kwargs.dist_kwargs = {'Base_Noise':
 
 ```python
 # We support PPO and TRPL, (SAC is untested, we are open to PRs fixing issues)
-model = TRPL("MlpPolicy", env_id, n_steps=128, seed=0, use_pca=True, policy_kwargs=dict(net_arch=[16], dist_kwargs={'par_strengt        h': 'FULL', 'skip_conditioning': True}), projection_class=projection, verbose=1)
+model = TRPL("MlpPolicy", env_id, n_steps=128, seed=0, use_pca=True, policy_kwargs=dict(net_arch=[16], dist_kwargs={'par_strength': 'FULL', 'skip_conditioning': True}), projection_class=projection, verbose=1)
 
-model.learn(total_timesteps=100)
+model.learn(total_timesteps=256)
 ```
 
-The supportted values for `par_strength` are:
+The supported values for `par_strength` are:
+- `SCALAR`: We only learn a single scalar value, that is used along the whole diagonal. No covariance is modeled.
 
-​    SCALAR: We only learn a single scalar value, that is used along the whole diagonal. No covariance is modeled.
+- `DIAG`: We learn a diagonal covariance matrix. (e.g. only variances).
 
-​    DIAG: We learn a diagonal covariance matrix. (e.g. only variances).
+- `FULL`: We learn a full covariance matrix, induced via Cholesky decomp (except when Wasserstein Projection is used; then we use the Cholesky of the SPD matrix sqrt of the covariance marix).
 
-​    FULL: We learn a full covariance matrix, induced via cholesky decomp.
+- `CONT_SCALAR`: Same as `SCALAR`, but the scalar is not global, it is parameterized by the policy net (contextual).
 
-​    CONT_SCALAR: Same as SCALAR, but the scalar is not global, it is parameterized by the policy net.
+- `CONT_DIAG`: Same as `DIAG`, but the values are not global, they are parameterized by the policy net.
 
-​    CONT_DIAG: Same as DIAG, but the values are not global, they are parameterized by the policy net.
+- `CONT_HYBRID`: We learn a parameric diagonal, that is scaled by the policy net.
 
-​    CONT_HYBRID: We learn a parameric diagonal, that is scaled by the policy net.
+- `CONT_FULL`: Same as `FULL`, but parameterized by the policy net.
 
-​    CONT_FULL: Same as FULL, but parameterized by the policy net.
 
 ## License
 
-Since this Repo is an extension to [Stable Baselines 3 by DLR-RM](https://github.com/DLR-RM/stable-baselines3), it contains some of it's code. SB3 is licensed under the [MIT-License](https://github.com/DLR-RM/stable-baselines3/blob/master/LICENSE).
+Since this Repo is an extension to [Stable Baselines 3 by DLR-RM](https://github.com/DLR-RM/stable-baselines3), it contains some of it's code. SB3 is licensed under the [MIT-License](https://github.com/DLR-RM/stable-baselines3/blob/master/LICENSE), and so are our extensions.